Random Packs and Their Use in Grain-Scale Modeling, with Applications to Energetic Materials

RESUMO

In recent years, we have constructed closely packed spheres using the Lubachevsky-Stillinger algorithm to generate models of heterogeneous solid propellants. Improvements to the algorithm now allow us to pack nonspherical shapes for modeling heterogeneity in complex energetic materials such as plastic-bonded explosives and pressed gun propellants. In this paper, we review the packing algorithm and present selected results, including higher-order statistics, along with preliminary results of convective burning through a porous medium.